Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 696 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 4 |
| Duplicate rows (%) | 0.6% |
| Total size in memory | 65.4 KiB |
| Average record size in memory | 96.2 B |
Variable types
| Categorical | 5 |
|---|---|
| Numeric | 7 |
| Dataset has 4 (0.6%) duplicate rows | Duplicates |
profile pic is highly correlated with #posts and 2 other fields | High correlation |
nums/length username is highly correlated with fake | High correlation |
description length is highly correlated with #posts and 2 other fields | High correlation |
#posts is highly correlated with profile pic and 4 other fields | High correlation |
#followers is highly correlated with profile pic and 4 other fields | High correlation |
#follows is highly correlated with #posts and 1 other fields | High correlation |
fake is highly correlated with profile pic and 4 other fields | High correlation |
profile pic is highly correlated with fake | High correlation |
nums/length username is highly correlated with fake | High correlation |
fake is highly correlated with profile pic and 1 other fields | High correlation |
profile pic is highly correlated with #posts and 1 other fields | High correlation |
nums/length username is highly correlated with fake | High correlation |
description length is highly correlated with fake | High correlation |
#posts is highly correlated with profile pic and 2 other fields | High correlation |
#followers is highly correlated with #posts and 2 other fields | High correlation |
#follows is highly correlated with #followers | High correlation |
fake is highly correlated with profile pic and 4 other fields | High correlation |
fake is highly correlated with profile pic | High correlation |
profile pic is highly correlated with fake | High correlation |
profile pic is highly correlated with description length and 1 other fields | High correlation |
nums/length username is highly correlated with nums/length fullname and 1 other fields | High correlation |
nums/length fullname is highly correlated with nums/length username and 1 other fields | High correlation |
name==username is highly correlated with nums/length fullname | High correlation |
description length is highly correlated with profile pic and 2 other fields | High correlation |
external URL is highly correlated with description length and 1 other fields | High correlation |
#posts is highly correlated with #followers and 1 other fields | High correlation |
#followers is highly correlated with #posts and 1 other fields | High correlation |
#follows is highly correlated with #posts and 1 other fields | High correlation |
fake is highly correlated with profile pic and 3 other fields | High correlation |
fake is uniformly distributed | Uniform |
nums/length username has 363 (52.2%) zeros | Zeros |
fullname words has 64 (9.2%) zeros | Zeros |
nums/length fullname has 622 (89.4%) zeros | Zeros |
description length has 395 (56.8%) zeros | Zeros |
#posts has 185 (26.6%) zeros | Zeros |
#followers has 20 (2.9%) zeros | Zeros |
#follows has 11 (1.6%) zeros | Zeros |
Reproduction
| Analysis started | 2022-07-04 06:06:52.746499 |
|---|---|
| Analysis finished | 2022-07-04 06:07:01.263254 |
| Duration | 8.52 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
profile pic
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 495 | |
| 0 | 201 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 495 | |
| 0 | 201 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
nums/length username
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 58 |
|---|---|
| Distinct (%) | 8.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1666091954 |
| Minimum | 0 |
|---|---|
| Maximum | 0.92 |
| Zeros | 363 |
| Zeros (%) | 52.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0.33 |
| 95-th percentile | 0.57 |
| Maximum | 0.92 |
| Range | 0.92 |
| Interquartile range (IQR) | 0.33 |
Descriptive statistics
| Standard deviation | 0.2189635419 |
|---|---|
| Coefficient of variation (CV) | 1.314234435 |
| Kurtosis | 1.018794568 |
| Mean | 0.1666091954 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.262005362 |
| Sum | 115.96 |
| Variance | 0.04794503266 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 363 | |
| 0.33 | 31 | 4.5% |
| 0.5 | 18 | 2.6% |
| 0.44 | 18 | 2.6% |
| 0.38 | 17 | 2.4% |
| 0.25 | 15 | 2.2% |
| 0.22 | 12 | 1.7% |
| 0.57 | 11 | 1.6% |
| 0.43 | 11 | 1.6% |
| 0.14 | 11 | 1.6% |
| Other values (48) | 189 |
| Value | Count | Frequency (%) |
| 0 | 363 | |
| 0.05 | 1 | 0.1% |
| 0.06 | 2 | 0.3% |
| 0.07 | 5 | 0.7% |
| 0.08 | 4 | 0.6% |
| 0.09 | 5 | 0.7% |
| 0.1 | 9 | 1.3% |
| 0.11 | 3 | 0.4% |
| 0.12 | 8 | 1.1% |
| 0.13 | 3 | 0.4% |
| Value | Count | Frequency (%) |
| 0.92 | 1 | 0.1% |
| 0.91 | 2 | 0.3% |
| 0.89 | 5 | |
| 0.88 | 5 | |
| 0.86 | 1 | 0.1% |
| 0.83 | 1 | 0.1% |
| 0.8 | 1 | 0.1% |
| 0.75 | 1 | 0.1% |
| 0.73 | 1 | 0.1% |
| 0.71 | 1 | 0.1% |
| Distinct | 11 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.475574713 |
| Minimum | 0 |
|---|---|
| Maximum | 12 |
| Zeros | 64 |
| Zeros (%) | 9.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 3 |
| Maximum | 12 |
| Range | 12 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.076621929 |
|---|---|
| Coefficient of variation (CV) | 0.7296288825 |
| Kurtosis | 23.2558394 |
| Mean | 1.475574713 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 3.331094173 |
| Sum | 1027 |
| Variance | 1.159114777 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 1 | 347 | |
| 2 | 227 | |
| 0 | 64 | 9.2% |
| 3 | 38 | 5.5% |
| 4 | 8 | 1.1% |
| 5 | 6 | 0.9% |
| 6 | 2 | 0.3% |
| 12 | 1 | 0.1% |
| 10 | 1 | 0.1% |
| 9 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 64 | 9.2% |
| 1 | 347 | |
| 2 | 227 | |
| 3 | 38 | 5.5% |
| 4 | 8 | 1.1% |
| 5 | 6 | 0.9% |
| 6 | 2 | 0.3% |
| 7 | 1 | 0.1% |
| 9 | 1 | 0.1% |
| 10 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 12 | 1 | 0.1% |
| 10 | 1 | 0.1% |
| 9 | 1 | 0.1% |
| 7 | 1 | 0.1% |
| 6 | 2 | 0.3% |
| 5 | 6 | 0.9% |
| 4 | 8 | 1.1% |
| 3 | 38 | 5.5% |
| 2 | 227 | |
| 1 | 347 |
| Distinct | 27 |
|---|---|
| Distinct (%) | 3.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.04216954023 |
| Minimum | 0 |
|---|---|
| Maximum | 1 |
| Zeros | 622 |
| Zeros (%) | 89.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0.33 |
| Maximum | 1 |
| Range | 1 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.1436643971 |
|---|---|
| Coefficient of variation (CV) | 3.406828632 |
| Kurtosis | 21.64092909 |
| Mean | 0.04216954023 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.324611964 |
| Sum | 29.35 |
| Variance | 0.02063945898 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 0.33 | 13 | 1.9% |
| 0.4 | 11 | 1.6% |
| 1 | 7 | 1.0% |
| 0.25 | 6 | 0.9% |
| 0.5 | 4 | 0.6% |
| 0.24 | 3 | 0.4% |
| 0.31 | 3 | 0.4% |
| 0.44 | 3 | 0.4% |
| 0.22 | 3 | 0.4% |
| Other values (17) | 21 | 3.0% |
| Value | Count | Frequency (%) |
| 0 | 622 | |
| 0.08 | 1 | 0.1% |
| 0.1 | 1 | 0.1% |
| 0.11 | 1 | 0.1% |
| 0.12 | 2 | 0.3% |
| 0.14 | 1 | 0.1% |
| 0.18 | 2 | 0.3% |
| 0.2 | 1 | 0.1% |
| 0.22 | 3 | 0.4% |
| 0.24 | 3 | 0.4% |
| Value | Count | Frequency (%) |
| 1 | 7 | |
| 0.89 | 1 | 0.1% |
| 0.57 | 1 | 0.1% |
| 0.56 | 1 | 0.1% |
| 0.5 | 4 | 0.6% |
| 0.46 | 1 | 0.1% |
| 0.44 | 3 | 0.4% |
| 0.43 | 2 | 0.3% |
| 0.4 | 11 | |
| 0.38 | 1 | 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 0 | |
|---|---|
| 1 | 25 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 671 | |
| 1 | 25 | 3.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 671 | |
| 1 | 25 | 3.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 114 |
|---|---|
| Distinct (%) | 16.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 23.41235632 |
| Minimum | 0 |
|---|---|
| Maximum | 150 |
| Zeros | 395 |
| Zeros (%) | 56.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 35 |
| 95-th percentile | 123 |
| Maximum | 150 |
| Range | 150 |
| Interquartile range (IQR) | 35 |
Descriptive statistics
| Standard deviation | 38.59572149 |
|---|---|
| Coefficient of variation (CV) | 1.64851931 |
| Kurtosis | 2.371692232 |
| Mean | 23.41235632 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.802317793 |
| Sum | 16295 |
| Variance | 1489.629718 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 395 | |
| 35 | 8 | 1.1% |
| 2 | 7 | 1.0% |
| 18 | 7 | 1.0% |
| 19 | 7 | 1.0% |
| 43 | 6 | 0.9% |
| 50 | 6 | 0.9% |
| 30 | 6 | 0.9% |
| 26 | 6 | 0.9% |
| 24 | 6 | 0.9% |
| Other values (104) | 242 |
| Value | Count | Frequency (%) |
| 0 | 395 | |
| 1 | 4 | 0.6% |
| 2 | 7 | 1.0% |
| 3 | 2 | 0.3% |
| 4 | 4 | 0.6% |
| 5 | 5 | 0.7% |
| 6 | 3 | 0.4% |
| 7 | 1 | 0.1% |
| 8 | 3 | 0.4% |
| 9 | 4 | 0.6% |
| Value | Count | Frequency (%) |
| 150 | 2 | |
| 149 | 4 | |
| 148 | 4 | |
| 147 | 1 | 0.1% |
| 146 | 3 | |
| 143 | 1 | 0.1% |
| 140 | 1 | 0.1% |
| 139 | 1 | 0.1% |
| 138 | 3 | |
| 137 | 2 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 617 | |
| 1 | 79 | 11.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 617 | |
| 1 | 79 | 11.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
private
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 439 | |
| 1 | 257 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 439 | |
| 1 | 257 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 211 |
|---|---|
| Distinct (%) | 30.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 103.2442529 |
| Minimum | 0 |
|---|---|
| Maximum | 7389 |
| Zeros | 185 |
| Zeros (%) | 26.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 9 |
| Q3 | 77 |
| 95-th percentile | 463.5 |
| Maximum | 7389 |
| Range | 7389 |
| Interquartile range (IQR) | 77 |
Descriptive statistics
| Standard deviation | 378.0281678 |
|---|---|
| Coefficient of variation (CV) | 3.661493568 |
| Kurtosis | 225.4104391 |
| Mean | 103.2442529 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | 13.14072017 |
| Sum | 71858 |
| Variance | 142905.2957 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 185 | |
| 1 | 36 | 5.2% |
| 2 | 27 | 3.9% |
| 3 | 21 | 3.0% |
| 4 | 17 | 2.4% |
| 5 | 17 | 2.4% |
| 8 | 16 | 2.3% |
| 9 | 14 | 2.0% |
| 6 | 13 | 1.9% |
| 7 | 10 | 1.4% |
| Other values (201) | 340 |
| Value | Count | Frequency (%) |
| 0 | 185 | |
| 1 | 36 | 5.2% |
| 2 | 27 | 3.9% |
| 3 | 21 | 3.0% |
| 4 | 17 | 2.4% |
| 5 | 17 | 2.4% |
| 6 | 13 | 1.9% |
| 7 | 10 | 1.4% |
| 8 | 16 | 2.3% |
| 9 | 14 | 2.0% |
| Value | Count | Frequency (%) |
| 7389 | 1 | |
| 4494 | 1 | |
| 1879 | 1 | |
| 1570 | 1 | |
| 1232 | 1 | |
| 1164 | 1 | |
| 1159 | 1 | |
| 1065 | 1 | |
| 1020 | 1 | |
| 990 | 1 |
| Distinct | 435 |
|---|---|
| Distinct (%) | 62.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 79149.90517 |
| Minimum | 0 |
|---|---|
| Maximum | 15338538 |
| Zeros | 20 |
| Zeros (%) | 2.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 42 |
| median | 165.5 |
| Q3 | 693 |
| 95-th percentile | 13264.25 |
| Maximum | 15338538 |
| Range | 15338538 |
| Interquartile range (IQR) | 651 |
Descriptive statistics
| Standard deviation | 842887.5382 |
|---|---|
| Coefficient of variation (CV) | 10.64925519 |
| Kurtosis | 228.2298983 |
| Mean | 79149.90517 |
| Median Absolute Deviation (MAD) | 150.5 |
| Skewness | 14.41101535 |
| Sum | 55088334 |
| Variance | 7.10459402 × 1011 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 20 | 2.9% |
| 49 | 10 | 1.4% |
| 16 | 9 | 1.3% |
| 15 | 8 | 1.1% |
| 21 | 7 | 1.0% |
| 1 | 7 | 1.0% |
| 5 | 7 | 1.0% |
| 39 | 7 | 1.0% |
| 42 | 6 | 0.9% |
| 77 | 6 | 0.9% |
| Other values (425) | 609 |
| Value | Count | Frequency (%) |
| 0 | 20 | |
| 1 | 7 | 1.0% |
| 2 | 5 | 0.7% |
| 3 | 2 | 0.3% |
| 4 | 3 | 0.4% |
| 5 | 7 | 1.0% |
| 6 | 3 | 0.4% |
| 7 | 3 | 0.4% |
| 8 | 3 | 0.4% |
| 9 | 4 | 0.6% |
| Value | Count | Frequency (%) |
| 15338538 | 1 | |
| 12397719 | 1 | |
| 6741307 | 1 | |
| 5315651 | 1 | |
| 4021842 | 1 | |
| 3896490 | 1 | |
| 1027419 | 1 | |
| 890969 | 1 | |
| 732075 | 1 | |
| 669987 | 1 |
| Distinct | 468 |
|---|---|
| Distinct (%) | 67.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 555.0862069 |
| Minimum | 0 |
|---|---|
| Maximum | 7500 |
| Zeros | 11 |
| Zeros (%) | 1.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 5.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 61 |
| median | 252 |
| Q3 | 601.75 |
| 95-th percentile | 2067.5 |
| Maximum | 7500 |
| Range | 7500 |
| Interquartile range (IQR) | 540.75 |
Descriptive statistics
| Standard deviation | 1023.613869 |
|---|---|
| Coefficient of variation (CV) | 1.84406288 |
| Kurtosis | 23.08467126 |
| Mean | 555.0862069 |
| Median Absolute Deviation (MAD) | 216.5 |
| Skewness | 4.407066297 |
| Sum | 386340 |
| Variance | 1047785.354 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 11 | 1.6% |
| 22 | 7 | 1.0% |
| 1 | 7 | 1.0% |
| 2 | 7 | 1.0% |
| 64 | 6 | 0.9% |
| 76 | 6 | 0.9% |
| 26 | 6 | 0.9% |
| 694 | 6 | 0.9% |
| 151 | 5 | 0.7% |
| 333 | 5 | 0.7% |
| Other values (458) | 630 |
| Value | Count | Frequency (%) |
| 0 | 11 | |
| 1 | 7 | |
| 2 | 7 | |
| 3 | 2 | 0.3% |
| 4 | 4 | 0.6% |
| 5 | 2 | 0.3% |
| 6 | 4 | 0.6% |
| 7 | 2 | 0.3% |
| 8 | 5 | |
| 9 | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 7500 | 2 | |
| 7453 | 1 | |
| 7399 | 1 | |
| 7369 | 1 | |
| 7272 | 1 | |
| 7202 | 1 | |
| 6172 | 1 | |
| 6153 | 1 | |
| 5514 | 1 | |
| 4664 | 1 |
fake
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONUNIFORM| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 5.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 348 | |
| 1 | 348 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 348 | |
| 0 | 348 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| profile pic | nums/length username | fullname words | nums/length fullname | name==username | description length | external URL | private | #posts | #followers | #follows | fake | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 0.27 | 0 | 0.0 | 0 | 53 | 0 | 0 | 32 | 1000 | 955 | 0 |
| 1 | 1 | 0.00 | 2 | 0.0 | 0 | 44 | 0 | 0 | 286 | 2740 | 533 | 0 |
| 2 | 1 | 0.10 | 2 | 0.0 | 0 | 0 | 0 | 1 | 13 | 159 | 98 | 0 |
| 3 | 1 | 0.00 | 1 | 0.0 | 0 | 82 | 0 | 0 | 679 | 414 | 651 | 0 |
| 4 | 1 | 0.00 | 2 | 0.0 | 0 | 0 | 0 | 1 | 6 | 151 | 126 | 0 |
| 5 | 1 | 0.00 | 4 | 0.0 | 0 | 81 | 1 | 0 | 344 | 669987 | 150 | 0 |
| 6 | 1 | 0.00 | 2 | 0.0 | 0 | 50 | 0 | 0 | 16 | 122 | 177 | 0 |
| 7 | 1 | 0.00 | 2 | 0.0 | 0 | 0 | 0 | 0 | 33 | 1078 | 76 | 0 |
| 8 | 1 | 0.00 | 0 | 0.0 | 0 | 71 | 0 | 0 | 72 | 1824 | 2713 | 0 |
| 9 | 1 | 0.00 | 2 | 0.0 | 0 | 40 | 1 | 0 | 213 | 12945 | 813 | 0 |
Last rows
| profile pic | nums/length username | fullname words | nums/length fullname | name==username | description length | external URL | private | #posts | #followers | #follows | fake | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 686 | 1 | 0.00 | 1 | 0.00 | 0 | 0 | 0 | 0 | 1 | 193 | 669 | 1 |
| 687 | 1 | 0.00 | 1 | 0.25 | 0 | 0 | 0 | 0 | 0 | 49 | 235 | 1 |
| 688 | 0 | 0.44 | 1 | 0.00 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 1 |
| 689 | 1 | 0.45 | 1 | 0.40 | 0 | 0 | 0 | 0 | 2 | 74 | 270 | 1 |
| 690 | 1 | 0.33 | 1 | 0.00 | 0 | 0 | 0 | 0 | 8 | 88 | 76 | 1 |
| 691 | 1 | 0.29 | 1 | 0.00 | 0 | 0 | 0 | 0 | 13 | 114 | 811 | 1 |
| 692 | 1 | 0.40 | 1 | 0.00 | 0 | 0 | 0 | 0 | 4 | 150 | 164 | 1 |
| 693 | 1 | 0.00 | 2 | 0.00 | 0 | 0 | 0 | 0 | 3 | 833 | 3572 | 1 |
| 694 | 0 | 0.17 | 1 | 0.00 | 0 | 0 | 0 | 0 | 1 | 219 | 1695 | 1 |
| 695 | 1 | 0.44 | 1 | 0.00 | 0 | 0 | 0 | 0 | 3 | 39 | 68 | 1 |
Most frequently occurring
| profile pic | nums/length username | fullname words | nums/length fullname | name==username | description length | external URL | private | #posts | #followers | #follows | fake | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0.00 | 1 | 0.0 | 1 | 0 | 0 | 0 | 0 | 69 | 694 | 1 | 2 |
| 1 | 1 | 0.00 | 2 | 0.0 | 0 | 48 | 0 | 0 | 222 | 5282 | 652 | 0 | 2 |
| 2 | 1 | 0.27 | 1 | 0.0 | 0 | 0 | 0 | 0 | 0 | 45 | 64 | 1 | 2 |
| 3 | 1 | 0.91 | 1 | 0.0 | 0 | 0 | 0 | 0 | 0 | 75 | 26 | 1 | 2 |